Welcome to Episode 123: In this episode of the Localization Fireside Chat, Viveta Gene, PhD shares a clear, human-first view of how to build quality in localization. We talk about why teams should pay for thinking not typing, how to use AI as a tool without losing the human edge, and practical ways buyers can source, scope, and measure work that actually moves outcomes.What you will learn• Why cognitive effort in post editing and review should be measured and compensated• How to design human in the loop so AI speeds work without lowering quality• A simple buyer playbook, scope clearly, measure what matters, pay for value• When to automate and when to slow down for expert judgment• How Greece fits into the global market and where nearshore teams shineChapters00:00 Intro02:00 Pay for thinking, not typing07:30 AI is a tool, people drive value12:40 Human in the loop that actually works18:10 Fair compensation for cognitive work24:00 A buyer’s playbook for quality outcomes31:00 Greece in the global localization market37:30 Building teams, values, and trust44:00 Final takeawaysGuestViveta Gene, PhD, Localization leader and researcherHostRobin Ayoub, Founder, Localization Fireside ChatWatch more and connect• Website, www.L10NFiresideChat.com• Spotify, https://open.spotify.com/show/5OoURgc29R31XPGzOWL9iX• Be a guest, https://calendly.com/robin-ayoub/localization-fireside-chat-podcast-recording• LinkedIn, https://www.linkedin.com/in/robinayoub/DisclaimerOpinions are shared for education and discussion. Always apply judgment in your own context.

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